what is normalization and denormalization
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Answer / somu
IN Normalization is controlled by elimination redundant
data where as in Denormalisation is controlled by redundant
data.
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Answer / shanu
Normalisation is a Process of decomposing the tables into
number of succesive tables to avoid Data Retundancy and
Inconsistency
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I am running a job with 1000 records.. If the job gots aborted after loading 400 records into target... In this case i want to load the records in the target with 401 record... How will we do it??? This scenario is not for sequence job it's only in the job Ex: Seq file--> Trans--> Dataset..
9 Answers Cognizant, IBM, TCS, Virtusa,
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create a job that splits the data in the Jobs.txt file into four output files. You will direct the data to the different output files using constraints. • Job name: JobLevels • Source file: Jobs.txt • Target file 1: LowLevelJobs.txt − min_lvl between 0 and 25 inclusive. − Same column types and headings as Jobs.txt. − Include column names in the first line of the output file. − Job description column should be preceded by the string “Job Title:” and embedded within square brackets. For example, if the job description is “Designer”, the derived value is: “Job Title: [Designer]”. • Target file 2: MidLevelJobs.txt − min_lvl between 26 and 100 inclusive. − Same format and derivations as Target file 1. • Target file 3: HighLevelJobs.txt − min_lvl between 101 and 500 inclusive. − Same format and derivations as Target file 1. • Rejects file: JobRejects.txt − min_lvl is out of range, i.e., below 0 or above 500. − This file has only two columns: job_id and reject_desc. − reject_desc is a variable-length text field, maximum length 100. It should contain a string of the form: “Level out of range: <min_lvl>”, where <min_lvl> is the value in the min_lvl field. My Question is how do you write the stage variable for reject rows.
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